Jython, lest you do not know of it, is the most compelling weapon the Java platform has for its survival into the 21st century - SeanMcGrath
There are numerous alternative languages implemented for the Java VM. The following features help to separate Jython from the rest:
- Dynamic compilation to Java bytecodes - leads to highest possible performance without sacrificing interactivity.
- Ability to extend existing Java classes in Jython - allows effective use of abstract classes.
- Optional static compilation - allows creation of applets, servlets, beans, ...
- Bean Properties - make use of Java packages much easier.
- Python Language - combines remarkable power with very clear syntax. It also supports a full object-oriented programming model which makes it a natural fit for Java's OO design.
What Does Jython Do Well?
- Java investigation
>>> from java.util import Date >>> d = Date() >>> print d Sat Jan 08 16:26:16 CST 2005 >>> from java.util import Random >>> print dir(Random) ['__init__', 'nextBoolean', 'nextBytes', 'nextDouble', 'nextFloat', 'nextGaussian', 'nextInt', 'nextLong', 'seed', 'setSeed'] >>>
- Making bean properties accessible
>>> print Date().time 1105500911121
- Glues together libraries already written in Java
- Excellent embedded scripting language
- Object Domain UML Tool
Differences - Python & Jython
- Compiles to .pyc
- Extend with C
- Python garbage collection, which mixes ref counting and mark and sweep
- Written mostly in Java, does use Java Native Runtime for C access, but works with security manager restrictions
- Java 7 or Java 8
- Compiles to $py.class files
- Extend with Java or C using JFFI; full CFFI, ctypes, and C Extension API support planned for the future
- Truly multi-threaded
- Java garbage collection, including choice of standard Java GCs; but also provides same API as Python 2.7 to observe GC